Develop Type-2 Fuzzy Controller from Optimization of the Type-1 Fuzzy for the Engine Control Using the Bee Colony Optimization Technique

This article presents Type-2 fuzzy logic controller designs. A Type-2 fuzzy Logic Controller is developed from a Type-1 fuzzy logic controller. Type-1 fuzzy logic controller design for control speed of the engine. The main topic of this step is Type-1 fuzzy logic controller is adjusted by using the Bee Colony Optimization algorithm for the best speed response, by tuning fuzzy membership functions. The matter of the article is the development of the approach with a Type-1 fuzzy logic controller to find the best fuzzy parameter values by the Beet Colony Optimization algorithm and developed Type-1 fuzzy logic controller to Type-2 fuzzy logic controller. Bee Colony Optimization algorithm specifically for tuning the membership functions of the Type-1 fuzzy logic controller for trajectory tracking in an engine speed control. The Integral Time Absolute Error is a performance index to measure controller behavior. Addition disturbance in the model with the pulse speed command for each Fuzzy Logic System. Simulate result represents the Type-2 Fuzzy logic controller is better than the Type-1 Fuzzy logic controller with uncertainty and that the Type-2 Fuzzy logic controller shows better speed response than the Type-1 Fuzzy Logic System Controller.